Articles | Volume 17, issue 3
https://doi.org/10.5194/os-17-755-2021
https://doi.org/10.5194/os-17-755-2021
Research article
 | 
04 Jun 2021
Research article |  | 04 Jun 2021

A new Lagrangian-based short-term prediction methodology for high-frequency (HF) radar currents

Lohitzune Solabarrieta, Ismael Hernández-Carrasco, Anna Rubio, Michael Campbell, Ganix Esnaola, Julien Mader, Burton H. Jones, and Alejandro Orfila

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Lohitzune Solabarrieta on behalf of the Authors (27 Aug 2020)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (05 Nov 2020) by Ingrid Puillat
RR by Anonymous Referee #2 (11 Jan 2021)
ED: Reconsider after major revisions (20 Jan 2021) by Ingrid Puillat
AR by Lohitzune Solabarrieta on behalf of the Authors (07 Feb 2021)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (10 Feb 2021) by Ingrid Puillat
RR by Anonymous Referee #2 (26 Feb 2021)
ED: Publish subject to minor revisions (review by editor) (02 Mar 2021) by Ingrid Puillat
AR by Lohitzune Solabarrieta on behalf of the Authors (12 Mar 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (29 Mar 2021) by Ingrid Puillat
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Short summary
High-frequency radar technology measures coastal ocean surface currents. The use of this technology is increasing as it provides near-real-time information that can be used in oil spill or search-and-rescue emergencies to forecast the trajectories of floating objects. In this work, an analog-based short-term prediction methodology is presented, and it provides surface current forecasts of up to 48 h. The primary advantage is that it is easily implemented in real time.